OrbisGraph by Pinnipedia
2 - 10 employees
Founded 2025
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
OrbisGraph by Pinnipedia is a Germany-hosted compliance platform that models ISMS documentation as a versioned knowledge graph. It extracts assets, processes, requirements (e. g. , BSI IT‑Grundschutz, NIS2, DORA, KRITIS) measures, evidence and people from unstructured documents and generates tailored Sicherheitskonzepte (security concepts) for consultancies and in-house teams. Built by cryptography, AI and cybersecurity researchers and benchmarked/validated (Freie Universität Berlin), the product emphasizes explainable AI, source-linked human approval, sovereign German hosting (Deutsche Telekom Cloud), and readiness for the BSI’s Grundschutz++ machine-readable direction.
Freelance Senior AI, Knowledge Graph Engineer
🔥 5 minutes ago
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OrbisGraph by Pinnipedia
2 - 10 employees
Founded 2025
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
OrbisGraph by Pinnipedia is a Germany-hosted compliance platform that models ISMS documentation as a versioned knowledge graph. It extracts assets, processes, requirements (e. g. , BSI IT‑Grundschutz, NIS2, DORA, KRITIS) measures, evidence and people from unstructured documents and generates tailored Sicherheitskonzepte (security concepts) for consultancies and in-house teams. Built by cryptography, AI and cybersecurity researchers and benchmarked/validated (Freie Universität Berlin), the product emphasizes explainable AI, source-linked human approval, sovereign German hosting (Deutsche Telekom Cloud), and readiness for the BSI’s Grundschutz++ machine-readable direction.
📋 Description
• Own the end-to-end pipeline that turns unstructured documents into a validated, queryable knowledge graph • Accountable for extraction quality, graph integrity, and the data layer that backs the product's read path • LLM extraction pipelines - document chunking, property and relationship extraction, cross-chunk reconciliation, gap detection • Knowledge graph - schema design as typed Pydantic models, Cypher access patterns and indexing strategy, graph operations, schema evolution and migration • Deterministic rule engines - table-driven evaluators for cases where code beats LLM judgment • Data validation & quality - schema enforcement, required-property contracts, audit trails • Live data ops - backfills, coordinated migrations across relational + graph stores, observability on extraction throughput and quality, incident response
🎯 Requirements
• 5+ years shipping data/AI systems to production with real customers • Strong Python (typed, modern) and SQL • Comfortable with PostgreSQL under load • Production experience with at least one graph database (Neo4j preferred; Neptune, ArangoDB, TigerGraph acceptable) • Production LLM pipeline experience: structured output, agent orchestration, prompt and version management, evaluation frameworks • Durable workflow orchestration in production (DBOS, Temporal, Airflow, Prefect, Dagster) • Test-first discipline - integration tests against real datastores (Testcontainers or equivalent), not mock-heavy unit tests • Fluent English skills • Freelance status
🏖️ Benefits
• Remote, full-time with flexible scheduling • On a freelance basis • CET (Berlin) timezone availability expected • Possibility of relocation if successful work relationship is achieved after a period of time • Competitive salary: 75.000–85.000 € base (premium for exceptional senior profiles) • Small, focused team; direct collaboration with the Product Owner and Full-Stack Engineer • Modern tooling, real ownership, and a learning budget for role-relevant training • Impact: help SMEs meet rising security requirements with less friction
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